IEEE Trans Pattern Anal Mach Intell - A Coarse to Fine Minutiae-Based Latent Palmprint Matching.

Tópicos

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Resumo

With the availability of live-scan palmprint technology, high resolution palmprint recognition has started to receive significant attention in forensics and law enforcement. In forensic applications, latent palmprints provide critical evidence as it is estimated that about 30 percent of the latents recovered at crime scenes are those of palms. Considering the large number of minutiae and large area of foreground region in full palmprints, novel strategies need to be developed for efficient and robust latent palmprint matching. In this paper, a coarse to fine matching strategy based on minutiae clustering and minutiae match propagation is designed specifically for palmprint matching. The proposed palmprint matching algorithm has been evaluated on a latent-to-full palmprint database consisting of 446 latents and 12,489 background full prints. The matching results show a rank-1 identification accuracy of 79.4%, which is significantly higher than the 60.8% identification accuracy of a state of the art latent palmprint matching algorithm on the same latent database. The average computation time of our algorithm for a single latent-to-full match is about 141ms for genuine match and 50ms for impostor match, on a Windows XP desktop system with 2.2GHz CPU and 1.00GB RAM.

Resumo Limpo

avail livescan palmprint technolog high resolut palmprint recognit start receiv signific attent forens law enforc forens applic latent palmprint provid critic evid estim percent latent recov crime scene palm consid larg number minutia larg area foreground region full palmprint novel strategi need develop effici robust latent palmprint match paper coars fine match strategi base minutia cluster minutia match propag design specif palmprint match propos palmprint match algorithm evalu latenttoful palmprint databas consist latent background full print match result show rank identif accuraci signific higher identif accuraci state art latent palmprint match algorithm latent databas averag comput time algorithm singl latenttoful match ms genuin match ms impostor match window xp desktop system ghz cpu gb ram

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